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Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs)

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Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs)

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Llopis-Albert, C.; Rubio, F.; Valero, F. (2018). Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs). Multidisciplinary Journal for Education, Social and Technological Sciences. 5(2):97-105. https://doi.org/10.4995/muse.2018.10722

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Metadatos del ítem

Título: Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs)
Autor: Llopis-Albert, Carlos Rubio, Francisco Valero, Francisco
Fecha difusión:
Resumen:
[EN] The designing of an efficient warehouse management system is a key factor to improve productivity and reduce costs. The use of Automated Guided Vehicles (AVGs) in Material Handling Systems (MHS) and Flexible Manufacturing ...[+]
Palabras clave: Fuzzy sets , Qualitative comparative analysis , Autonomous guided vehicles , Conflict resolution , Decision-making , Material handling systems , Flexible manufacturing systems
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Multidisciplinary Journal for Education, Social and Technological Sciences. (eissn: 2341-2593 )
DOI: 10.4995/muse.2018.10722
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/muse.2018.10722
Tipo: Artículo

References

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Biçer, I., Seifert, R.W., (2017). Optimal Dynamic Order Scheduling under Capacity Constraints Given Demand-Forecast Evolution. Production and Operations Management 26(12), 2266-2286. https://doi.org/10.1111/poms.12759

Fazlollahtabar, H., Saidi-Mehrabad, M. (2015). Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning. Springer. https://doi.org/10.1007/978-3-319-14747-5 ISBN 978-3-319-14747-5. [+]
Berbegal-Mirabent, J.; Llopis-Albert, C. (2015). Applications of Fuzzy Logic for Determining the Driving Forces in Collaborative Research Contracts. J. Bus. Res., 69 (4), 1446-1451. https://doi.org/10.1016/j.jbusres.2015.10.123

Biçer, I., Seifert, R.W., (2017). Optimal Dynamic Order Scheduling under Capacity Constraints Given Demand-Forecast Evolution. Production and Operations Management 26(12), 2266-2286. https://doi.org/10.1111/poms.12759

Fazlollahtabar, H., Saidi-Mehrabad, M. (2015). Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning. Springer. https://doi.org/10.1007/978-3-319-14747-5 ISBN 978-3-319-14747-5.

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Llopis-Albert, C., Merigó, J.M., Xu, Y., Liao, H. (2017). Application of Fuzzy Set/Qualitative Comparative Analysis to Public Participation Projects in Support of the EU Water Framework Directive. Water Environment Research, 89.

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Mendel, J. M., Korjani, M. M. (2013). Theoretical Aspects of Fuzzy Set Qualitative Comparative Analysis (fsQCA). Inf. Sci., 237, 137-161. https://doi.org/10.1016/j.ins.2013.02.048

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Quine, W. V. (1952). The problem of simplifying truth functions. The American Mathematical Monthly, 59(8), 521-531. https://doi.org/10.1080/00029890.1952.11988183

Pillac, V., Gendreau, M., Guéret, C., Medaglia, A.L. (2013). A review of dynamic vehicle routing problems. European Journal of Operational Research 225, 1-11. https://doi.org/10.1016/j.ejor.2012.08.015

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Sarker, B.R., Gurav, S.S. (2005). Route planning for automated guided vehicles in a manufacturing facility. International Journal of Production Research 43(21), 4659-4683. https://doi.org/10.1080/00207540500140807

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